Model comparison
GPT OSS 120B vs GLM-4.7-Flash
Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.
Open GPT reasoning model for self-hosted agents and controllable deployments.
Efficient GLM model for fast reasoning, coding, and agent workflows.
Quick take
Where each one leads
- GLM-4.7-Flash costs less to send text to: $0.060 per million tokens, against $0.150 per million tokens for GPT OSS 120B.
- GLM-4.7-Flash costs less per word it writes: $0.400 per million tokens, against $0.600 per million tokens for GPT OSS 120B.
- GLM-4.7-Flash reads more at once: 200,000 tokens, against 131,072 tokens.
- GLM-4.7-Flash scores higher on the Artificial Analysis Intelligence Index: 14.9 to 3.8.
- More people run GPT OSS 120B through OpenRouter than GLM-4.7-Flash right now.
Each line comes from a checked value in the tables below. Pick on your workload: price and usage matter for high volume, context and scores for long documents and agent loops.
Price history
Prices side by side, day by day
- GPT OSS 120B
- GLM-4.7-Flash
- GPT OSS 120B
- GLM-4.7-Flash
Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.
Price
What each one costs now
| Measure | GPT OSS 120B | GLM-4.7-Flash |
|---|---|---|
| Input price | $0.150 per million tokens | $0.060 per million tokens Leads |
| Output price | $0.600 per million tokens | $0.400 per million tokens Leads |
Scores
Benchmarks, with source and date
| Measure | GPT OSS 120B | GLM-4.7-Flash |
|---|---|---|
| Artificial Analysis Intelligence Index | 3.8 | 14.9 Leads |
| Artificial Analysis Coding Index | 30.4 | Not checked yet |
| Artificial Analysis Agentic Index | 3.7 | Not checked yet |
| LMArena text rating (Elo) | 1,365 Leads | 1,351 |
| Design Arena rating (Elo) | 986 | 1,202 Leads |
Specs
Context, modalities and tool use
| Measure | GPT OSS 120B | GLM-4.7-Flash |
|---|---|---|
| Context window | 131,072 tokens | 200,000 tokens Leads |
| Reads | Text | Text |
| Writes | Text | Text |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
| Open weights | Yes | Yes |
| Listed since | 5 Aug 2025 | 19 Jan 2026 |
Usage
How much each one is used
| Measure | GPT OSS 120B | GLM-4.7-Flash |
|---|---|---|
| Tokens served on OpenRouter in a day | 69B Leads (for 10 Nov 2026) | 1.3B (for 10 Nov 2026) |
| Requests on OpenRouter in a day | 18.3M Leads (for 10 Nov 2026) | 845K (for 10 Nov 2026) |
| Tool calls on OpenRouter in a day | 761.8K Leads (for 10 Nov 2026) | 51.9K (for 10 Nov 2026) |
| Token usage, last 7 days | Up 2% on the week before Leads (for 10 Nov 2026) | Down 19% on the week before (for 10 Nov 2026) |
- GPT OSS 120B
- GLM-4.7-Flash
How this works
One link, either order
This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.